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lavaanExtra vs rATTAINS

A side-by-side editorial comparison of lavaanExtra and rATTAINS — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

lavaanExtra vs rATTAINS: at a glance

FeaturelavaanExtrarATTAINS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, structural-equation-modeling, lavaan, apa-reportingwater-quality, epa-data, r-package, api-wrapper
Last editorial update1h ago7h ago
WebsiteVisit →Visit →

What is lavaanExtra?

SEM reporting helpers converging on APA output, one CRAN resubmission at a time.

lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.

Read the full lavaanExtra trajectory →

What is rATTAINS?

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

Read the full rATTAINS trajectory →

lavaanExtra vs rATTAINS: editorial side-by-side

L
lavaanExtra
ANALYTICS
0.0

SEM reporting helpers converging on APA output, one CRAN resubmission at a time.

◆ Current state

lavaanExtra provides shorthand syntax and formatted output around lavaan structural equation models - write_lavaan() to build model strings, and nice_* functions for fit tables, plots, and modification indices. Three of the six visible releases exist only to satisfy CRAN resubmission: a unicode problem, a dependency version check, tests running without suggested packages. The substance sits in 0.1.5, 0.1.8, and 0.1.9.

◆ Where it's heading

The package generalises its own vocabulary as it goes: lavaan_ind() became lavaan_defined() once it turned out to extract any user-defined parameter, and lavaan_cov() was split so lavaan_cor() covers actual correlations. Methodological positions are taken alongside the API - dropping the estimate argument from lavaan_reg() to force reporting both standardized and unstandardized values, and updating the RMSEA benchmark to Schreiber (2017). Rémi Thériault maintains it next to rempsyc, which formats output to match. Note that 0.1.5 restates the whole 0.1.4.x development series in one body.

◆ Prediction

The pattern points to another nice_* helper aimed at a reporting step that currently needs hand formatting, arriving with the usual CRAN resubmission behind it.

R
rATTAINS
ANALYTICS
0.0

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

◆ Current state

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

◆ Where it's heading

The direction is toward a thinner, lower-maintenance wrapper. Caching went in 0.1.4 when hoardr was archived, tidyjson and janitor went earlier, tibblify went in 1.1.0, and each removal handed a little more data-shaping responsibility back to the user — the current advice is to pass .unnest = FALSE and rectangle the results with whatever tidying package you prefer. Release cadence is slow and mostly reactive: upstream API terms, archived dependencies, and compatibility with test tooling account for most of the log. The package's centre of gravity is staying installable and honest about what ATTAINS returns rather than smoothing it over.

◆ Prediction

Given the pattern, the next release is likelier to be a compatibility or upstream-driven fix than new endpoint coverage; how the API key requirement affects users in scripted and CI contexts is the obvious open question the entries do not yet answer.

Alternatives to lavaanExtra and rATTAINS

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either lavaanExtra or rATTAINS.

See all lavaanExtra alternatives → · See all rATTAINS alternatives →

Recent activity from lavaanExtra and rATTAINS

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agorATTAINSATTAINS now requires an API key, and the package follows
  2. 8mo agorATTAINSThe tibblify dependency goes, and with it the stable data shapes
  3. 1y agorATTAINSTest suite updated for vcr v2
  4. 2y agolavaanExtraCRAN resubmission for a unicode problem
  5. 2y agolavaanExtralavaan_ind renamed to lavaan_defined; thresholds supported
  6. 2y agolavaanExtranice_modindices flags redundant items
  7. 3y agolavaanExtraSuggested dependency versions checked correctly
  8. 3y agolavaanExtraTests run without suggested dependencies
  9. 3y agolavaanExtraFit benchmarks updated and correlations split from covariances
  10. 3y agorATTAINS1.0.0 commits to stable return structures via tibblify
  11. 3y agorATTAINSCaching removed after hoardr was archived
  12. 4y agorATTAINSRequests retry on timeout, with offline detection

Frequently asked questions

What is the difference between lavaanExtra and rATTAINS?

Both compete on the same themes — r-package — within Analytics. lavaanExtra and rATTAINS are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is lavaanExtra better than rATTAINS?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lavaanExtra and rATTAINS are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to lavaanExtra?

Top lavaanExtra alternatives in Analytics are ranked by recent ship velocity. Browse the "lavaanExtra alternatives" section above for the current picks, or visit /alternatives/lavaanextra for the full list with editorial commentary on each.

What are the best alternatives to rATTAINS?

Top rATTAINS alternatives in Analytics are ranked by recent ship velocity. Browse the "rATTAINS alternatives" section above for the current picks, or visit /alternatives/rattains for the full list with editorial commentary on each.